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Remote Computer Science Teaching Jobs in Los Altos, CA

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Bachelors in Computer Science, Engineering, or a related field. * 3+ years of professional software ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Eitacies Inc

Sr Staff PSIRT Engineer

Santa Clara, CA · Remote

$60 - $70/hr

Education: * BS or MS Degree in Computer Science, Engineering, or Cybersecurity. * 4+ years of experience in product security, application security, or vulnerability research. This is a remote ...

MatX

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Bachelor of Science in Electrical Engineering or equivalent * Minimum 8 years of industry ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · On-site +1

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

EPSoft Technologies

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Sunnyvale, CA (Remote) - Look for nearby location candidates those candidates will be given first ... Bachelor's Degree in Computer Science or related field and 5+ years of experience building scalable ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · Remote

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Qualifications : * BS in Computer Science, Human Machine Interface Design, Human-Computer Interaction, or equivalent. * 3-5 years experience with application development using Python, HTML, CSS ...

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All JobsComputer Science Teaching JobsRemote Computer Science Teaching JobsRemote Computer Science Teaching Jobs in Los Altos, CA

Remote Computer Science Teaching information

See Los Altos, CA salary details

$43.2K

$77.5K

$143.9K

How much do remote computer science teaching jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote computer science teaching in Los Altos, CA is $77,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $82,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

What job categories do people searching Remote Computer Science Teaching jobs in Los Altos, CA look for? The top searched job categories for Remote Computer Science Teaching jobs in Los Altos, CA are:
What cities near Los Altos, CA are hiring for Remote Computer Science Teaching jobs? Cities near Los Altos, CA with the most Remote Computer Science Teaching job openings:
Remote Computer Science Teaching jobs near you

Data Scientist II, ML Infrastructure

Pinterest

Palo Alto, CA • On-site, Remote

Full-time

Posted 15 days ago

Job description

This role focuses on advancing the science and systems behind ML measurement, feature understanding, and causal inference at scale. The work spans areas such as production feature importance platforms, observational causal estimation in Pytorch, large-scale proxy metric development, and data-driven approaches to ML infrastructure efficiency. We're looking for an enthusiastic individual contributor to perform high-impact technical work across this space. This person will drive foundational innovations, own the end-to-end design of production ML systems, establish rigorous methodological standards, and partner cross-functionally to turn successful research into durable platform capabilities that raise the ceiling for the entire ML organization.

What you'll do:

We are looking for an experienced and highly capable Data & Applied Scientist to help us drive step function improvements in our ML capabilities at Pinterest. 

In this role, you will:

  • Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB & Ray while establishing reusable patterns for other teams.
  • Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.
  • Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.
  • Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.
  • Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models.

What we're looking for:

  • 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.
  • Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.
  • Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.
  • Deep ML theory knowledge with extremely strong fundamentals that can help us reason about ML models from first principles.
  • Proficiency in software development best practices including version control, code review, and reproducible ML pipelines.
  • Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 3-5 times/quarter and therefore can be situated anywhere in the country.

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